Optimization Control Strategy of S-CO2 Cycle for SFR Application by using Genetic Algorithm and Artificial Neural Network > Conferences

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Optimization Control Strategy of S-CO2 Cycle for SFR Application by using Genetic Algorithm and Artificial Neural Network

Author	오승환, 이정익, 손성민
Conference	2018 한국원자력학회 춘계학술발표회
Date	20180517

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이전글Loss of Coolant Accident Classification in Real Time using Dynamic Bayesian Network
다음글Design Study of Surface-Cooled Centrifugal Compressor in a Supercritical CO2(S-CO2) Brayton Cycle

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Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak-ro Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea / Office: Room 1401, N7-1 (Mechanical Building) TEL : 042 - 350 - 3829 / FAX : 0507 - 083 - 5945 / EMAIL : jeongiklee@kaist.ac.kr Copyright Dept. of Nuclear & Quantum Engineering. All Rights Reserved.

Optimization Control Strategy of S-CO2 Cycle for SFR Application by using Genetic Algorithm and Artificial Neural Network > Conferences

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Optimization Control Strategy of S-CO2 Cycle for SFR Application by using Genetic Algorithm and Artificial Neural Network

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